KR20210088006A - Hybrid power generation system with smooth power output - Google Patents

Abstract

In accordance with some embodiments, calculating an output setpoint for the thermal power generation system during a first calculation cycle of a time window having at least one calculation cycle; calculating the net demand for demand-responsive power to satisfy the required load demand after calculating the available renewable power generation; in response to determining that the net demand for demand-capable power exceeds an output power setpoint for the thermal power generation system, determining whether a discharge power of the energy storage device satisfies a power gap; in response to determining that the discharge power is not greater than the power rating, generating a discharge command to discharge the energy storage device to the discharge power; and in response to determining that the discharge of the energy storage device does not satisfy the power gap, increasing the output power setpoint for the thermal power generation system during the first calculation cycle.

Description

Hybrid power generation system with smooth power output

CROSS-REFERENCE TO RELATED APPLICATIONS

This application claims the benefit of US Provisional Patent Application No. 62/799,114, filed on January 31, 2019, the contents of which are incorporated herein by reference for all purposes.

technical field

The present invention relates generally to controlling energy output from a hybrid power generation system, and more particularly to smoothing power output by a thermal power generation asset of a hybrid power generation system.

The global demand for electrical energy is increasing year by year. Most of the electrical energy demand is met by energy produced from thermal power sources such as coal, oil and gas. However, in recent years, as the global climate change problem increases, electricity generation by renewable energy sources such as solar and wind power is being promoted.

Wind turbine generators are considered an environmentally friendly and relatively inexpensive alternative energy source that uses wind energy to generate electricity. In addition, solar power generation uses photovoltaic (PV) modules to generate electricity from sunlight. Since the strength of wind and sunlight is not constant, the power output of wind turbines and PV modules fluctuates throughout the day. Unfortunately, electricity demand does not change with changes in the sun and wind. To supply electricity demand during times when the supply of renewable power is insufficient, thermal power generation systems continue to be used.

Thermal power assets such as steam turbines, gas turbines, gas engines and diesel engines have different performance characteristics when responding to changes in load demand. Thermal power assets typically require minutes to tens of minutes to respond to power output level change requirements. This delayed response time is slower than the rate of change in load demand on the grid. Frequently changing the power output level of a thermal power plant will cause the asset's power generation inefficiency, more wear and tear of the asset, and higher maintenance costs.

Energy storage devices can help solve the problem of variability in solar and wind systems and the inefficiency of thermal power systems to respond to changes in load demand. Therefore, a system and method capable of solving the above-mentioned problems are desirable.

In some embodiments, energy storage devices and associated power controllers are added to the hybrid microgrid system to support power operation of a thermal power generation (TPG) system.

These and other features and aspects of embodiments of the present invention will be better understood upon reading the following detailed description with reference to the accompanying drawings, wherein like reference numerals refer to like parts throughout.
1A depicts a bar graph illustrating the power disparity when comparing variable renewable power versus load demand without considering a dispatchable energy source during a computation cycle, according to an exemplary embodiment.
1B shows a histogram illustrating the hourly power differential of FIG. 1A as a thermal power generation (TPG) system needs to replenish without a supplemental energy storage system in accordance with an exemplary embodiment.
2 shows a schematic diagram illustrating an AC-DC hybrid hybrid power microgrid system including an energy storage system and a hybrid AC-DC power controller in accordance with an exemplary embodiment.
3A-3C respectively show portions of a flow diagram of a process for hybrid power control, according to an exemplary embodiment.
FIG. 4 shows a histogram illustrating the hourly power differential of FIG. 1B met by a TPG system in combination with a supplemental energy storage system, in accordance with an embodiment of the present invention.

A microgrid is a group of loads and distributed alternating current (AC) and/or direct current (DC) generators interconnected within a clearly defined electrical boundary that serves as a single controllable entity. A hybrid microgrid system is a type of microgrid that includes renewable energy sources such as wind turbines and photovoltaic (PV) power generation systems. The integration of renewable technologies reduces operating costs compared to pure conventional power generation that relies on thermal power generation (TPG) systems such as coal fired, liquefied natural gas (LNG) and petroleum fired thermal power sources, for example. give.

In particular, LNG-fired and petroleum-fired thermal power sources are adjustable at power generation setpoints, providing the flexibility to increase or decrease the output power according to the different load demands of the hybrid microgrid over a period of time. From a system efficiency standpoint, the TPG source operates at its highest efficiency when the power setpoint is adjusted to the maximum output power. From a system reliability point of view, the TPG source operates with the highest reliability when there is minimal adjustment to the power setpoint, which results in less wear and tear of the thermal power generation system. These cost, efficiency and reliability considerations may be further described with reference to FIGS. 1A and 1B .

1A shows all combined versus average hourly load demand (kW; represented by dot graph curve 102) in monthly units of a time period of 12 months (corresponding to 8760 hours), as shown in one exemplary aspect of the present disclosure. A histogram is shown representing the average hourly power output (kW) of a variable renewable power source 102 (eg, 8.8 MWdc PV and 5.0 MWac wind). For example, at 12:00 noon in January, the average hourly power output of all combined variable renewable power sources is at the peak output value (about 6500 kW), while the average hourly load demand of the microgrid is also at the peak demand value (about 6500 kW). 13500 kW or 13.5 MW). To fill the electricity demand gap (13500 - 6500 = 7000 kW), a thermal power generation system will be needed. If the load demand requirement during peak hours is 13.5 MW (13500 kW), this example requires running two gas engines during peak hours, since this example has a maximum output of 9.35 MW (equivalent to 9350 kW) each. Because it uses a gas engine to deliver.

1B is an hourly power gap 101 (in the example shown in FIG. 1A ) that one or more gas turbines must make up for over a period of time of 12 months (corresponding to 8760 hours), as shown in one exemplary aspect of the present disclosure. identified) is shown. The dotted vertical line 151 represents the maximum output power (9.35 MW) that an exemplary single gas engine can deliver. Accordingly, the bar to the right of the dashed line represents the amount of time the two gas engines are used to provide the power needed to fill the power gap shown in FIG. 1A over one year. In this example, about 2099 hours (or 24%) of the year had to run two gas engines with a power gap greater than 9.35 MW. In addition, histogram 150 shows the large variation in the power output delivered by the gas engine over the course of a year, with operating times between 5 MW and 10 MW being mostly evenly distributed. This represents the inefficiency of gas engine operation given that the exemplary gas engine operates at maximum efficiency when operated at full power. This inefficiency leads to increased energy production costs. Moreover, numerous variations in the output power setpoint of the example gas engine(s) increase wear of the engine(s), increasing repair costs and shortening engine life.

To reduce the above-mentioned costs due to the operational inefficiency of the TPG system, an energy storage system (also called a battery energy storage system (BESS)) and a hybrid AC-DC power controller are added to the hybrid power microgrid system. do. The energy storage system serves to compensate for the power gap requirements of the TPG system. By providing supplemental power to the microgrid during high peak load demand, the energy storage system reduces the need for the TPG system to increase its power output. Conversely, during low load demand (eg, net surplus of power), the TPG system will not need to reduce the power input energy storage system because the added energy storage system stores the extra power generated by the TPG system. The energy storage system thus allows for a more stable output power setpoint of the TPG system. The hybrid AC-DC power controller works with a variety of renewable power sources, TPG systems, and energy storage systems to control the power levels of demand-capable power sources. This includes the control of the TPG system output setpoint level and the charging or discharging state of the energy storage system, taking into account the load demand for the observed period of time.

2 illustrates an AC/DC hybrid hybrid power microgrid system 200 in accordance with aspects of the present disclosure. The hybrid power microgrid system 200 includes an AC microgrid 210 and a DC microgrid 220 . The microgrid system 200 includes a bidirectional power converter 240 between an AC microgrid 210 and a DC microgrid 220 for AC/DC or DC/AC power conversion. The AC microgrid 210 uses power converters 212, 214 and 216 of an AC/AC or DC/AC conversion structure. The DC microgrid 220 uses the power converters 222 and 224 of the DC/DC conversion structure.

The AC microgrid 210 includes a wind power generation system 211 , a photovoltaic (PV) power generation system 213a , a combustion turbine power generation system 215 , and a battery energy storage system 217a . Systems 211 , 213a , 215 and 217a are connected to each other and to an AC load 201 via an AC grid bus 219 . AC load 201 and systems 211 , 213a , 215 and 217a are communicatively coupled to hybrid AC-DC power controller 230 via AC control bus 218 . The DC microgrid 220 includes a PV power generation system 213b and a battery energy storage system 217b. Systems 213b and 217b are connected to each other and to a DC load 202 via a DC grid bus 229 . DC load 202 and systems 213b and 217b are communicatively coupled to hybrid AC-DC power controller 230 via an AC control bus 228 .

3A-3C , a flowchart 300 of examples of operation of the hybrid AC-DC power controller 230 of the hybrid power microgrid system 200 shown in FIG. 2 is provided, in accordance with some embodiments. In particular, FIGS. 3A-3C provide a flow diagram of a process 300 in accordance with some embodiments. Process 300 and other processes described herein may be performed using any suitable combination of hardware (eg, circuit(s)), software, or manual means. In one or more embodiments, controller 230 is conditioned to perform process 300 such that the system is a special purpose element configured to perform operations that cannot be performed by a general purpose computer or device. The software implementing this process may be stored on any non-transitory tangible medium, including a fixed disk, floppy disk, CD, DVD, flash drive, or magnetic tape. An example of such a process will be described below in connection with an embodiment of the system, but the embodiment is not limited thereto.

In one or more embodiments, the controller 230 includes a collection module 234 for obtaining historical, current and forecast data from an external data source and a calculation module 236 for determining the power level of the demand-capable power source. do. Calculation module 236 also controls the TPG system output setpoint level and the charging or discharging state of the energy storage system taking into account the load demand for the observed period of time. In one or more embodiments, controller 230 includes memory 235 that stores one or more processor elements 233 and a historical database 238 . According to one or more embodiments, processor 233 is a conventional microprocessor and operates to control the overall functionality of collection module 234 and computation module 236 . In one or more embodiments, the controller 230 is configured such that the processor 233 and thus the collection module 234 and the computation module 236 are other devices (eg, energy storage devices 217a, 217b, TPG devices 215, regeneration). possible through a data network (not shown) with power generation devices 211 , 213a , 213b , and load entities of AC load 201 and/or DC load 202 ) or other off-grid platforms and devices 239 . and a communication interface 232 to allow participation in communication.

In one or more embodiments, the one or more memories 235 and data storage device (eg, database 238 ) may be any one or more of a hard disk drive, random access memory (RAM), read only memory (ROM), flash memory, and the like. includes a combination of Memory 235/data storage device 238 stores software that programs processor 233 and modules 234 and 236 to perform the functions described herein. According to other embodiments, other types of storage devices include magnetic storage devices, optical storage devices, mobile phones, and/or semiconductor memory devices. The memory 235 stores a program or logic (not shown) for controlling the processor 233 . Processor 233 executes instructions in program logic, and thus operates in accordance with any of the embodiments described herein. Further, other embodiments include program logic stored in compressed, uncompiled and/or encrypted form. The program logic includes other program elements such as an operating system (OS), database management system, and/or device drivers used by the processor 233 to interface with devices external to the controller 230 .

According to one or more embodiments, a user/operator may access system 200 via one of platform 239 (control system, desktop computer, laptop computer, personal digital assistant, tablet, smart phone, etc.) View information and/or manage demand-capable power sources in accordance with any of the embodiments described. Moreover, the embodiments described herein are implemented using any number of different hardware configurations. For example, controller 230 and platform 239 may include input devices (not shown) (eg, a mouse and/or keyboard for inputting information about time and power measurements and settings) and output devices (not shown) ( eg, to output and display data and/or recommendations).

Initially, the process 300 starts at S310 and proceeds to S312, where the hybrid AC-DC power controller 230 is configured with a project life having at least one time window with at least one calculation cycle. and collects energy supply data and load demand data during this calculation cycle to determine the output power setpoint for at least one TPG system and to determine the charging or discharging power level of an energy storage system such as a BESS, for example. . According to one embodiment, the parameter values of the project duration, time window and calculation cycle are programmed by the administrator of the microgrid system 200 via the interface 232 with the controller 230 . The energy storage device includes two or more energy storage elements 217a, 217b. In one or more embodiments, energy storage devices 217a and 217b are batteries or any other suitable energy storage devices. In one or more embodiments, energy storage devices 217a , 217b are power plant devices, standalone energy storage devices, or any combination thereof. Energy storage devices 217a , 217b provide energy to meet power load demands of at least one of the grid, customers, and the like.

The process proceeds to S316 starting from a first time window, e.g., such as the first day of the project period, as shown in S314, where the calculation module 236 determines the load demand for the next time period. to decide In this exemplary embodiment, since the process is starting, the next time period consists of the first 24 hours. Subsequent iterations of this step will use data related to the subsequent 24-hour time window. In one embodiment, the load demand is predicted load demand data based on the historical load demand data of the historical database 238 , the future load demand of the AC load 201 and the DC load 202 obtained by the collecting module 234 . , and any combination thereof. Although the example hybrid power microgrid system 200 includes both AC loads and DC loads, in other embodiments, the load demand data may include: the microgrid is limited to an AC power grid 210 or a DC power grid 220 . It should be noted that it should be understood that the case is drawn from either an AC load or a DC load.

The process proceeds to S318, where the calculation module 236 includes, but is not limited to, PVs 213a, 213b, wind power 211, any other type of renewable power source (not shown), and combinations thereof. , calculates the total available energy generation over a time window from at least one renewable power generation system. Although the exemplary hybrid power microgrid system 200 includes renewable power sources in both the AC grid 210 and the DC grid 220, in other embodiments, the total available energy generation from the renewable power generation system is AC power. It should be noted that it should be understood that it is limited to either the grid 210 or the DC power grid 220 . The calculation of the total available energy generation from the renewable power generation system is the historical renewable power source generation data for the calculating time window stored in the historical database 238 , the prediction over the calculating time window obtained by the collection module 234 . derived from renewable power source generation data (eg, weather forecast data for the location of a renewable power generation system), or any combination thereof.

The process continues to S320, where the calculation module 236 calculates the difference between the load demand during the time window and the total available energy production from the renewable power generation system during the time window, thereby generating at least one thermal power generation ( TPG) calculates the total energy production required for the system 215 . Then, at S322, the calculation module 236 divides the total energy production required for the at least one TPG system 215 by the number of calculation cycles for the time period currently being measured, eg, 24, over the time window. Calculate the output power setpoint for the TPG system 215 .

Starting from a first calculation cycle (eg, the first hour) of the time window currently being measured ( S324 ), the process proceeds to S326 , where the calculation module 236 calculates the available renewable power generation during the first calculation cycle. do. The calculation of the available renewable power generation from the renewable power generation systems 211 , 213a , 213b is obtained by the collection module 234 , the historical renewable power source generation data during the time window being calculated stored in the history database 238 . predicted renewable power source generation data (eg, weather forecast data for the location of a renewable power generation system) during the time window being calculated, or any combination thereof. From S324, the process also proceeds to S328, where the calculation module 236 calculates the load demand required for the AC load 201, DC load 202, or a combination thereof depending on the type(s) of the load present. .

From the calculations performed in S326 and S328, the process proceeds to S330, where the calculation module 236 subtracts the calculated required load demand (from S328) from the available renewable power generation (S326) during the calculation cycle to calculate the current measurement. Calculate the net load demand for demand-capable power (ie, BESS combined with TPG) during the cycle. After calculating ( S330 ) the net load demand for capable power during the calculation cycle, the process continues to decision block S332 , where the calculation module 234 determines that the net load demand for capable power is Determines whether the output power setpoint for one or more TPG systems is greater than the setpoint for the calculation cycle currently being measured.

If it is determined from S332 that the net load demand for demand-capable power is greater than the output power setpoint for one or more TPG systems during the calculation cycle currently being measured, then the process off-pages to the next portion of the flowchart shown in FIG. 3B . Continues with the off-page connector, DISCHARGE. Referring now to FIG. 3B , the process proceeds to block S334 , where the calculation module 236 determines whether the discharge power of the energy storage systems 217a , 217b (eg, BESS) satisfies the power gap. do. As used herein, the power gap is defined as the difference between the net demand for demand-capable power (ie, BESS + TPG) and the output power setpoint for the TPG system during the current computation cycle, where the net demand value is the TPG greater than the system's output power setpoint. The determination at S334 is whether the BESS has enough power to be discharged to satisfy the power gap calculated by the calculation module 236 . If it is determined that the BESSs 217a and 217b do not have sufficient power to be discharged to satisfy the power gap during the calculation cycle, the process continues to S336, where the calculation module 236 causes the BESSs 217a and 217b to discharge. is limited to the amount of residual discharge power, and then proceeds to a determination block (S338).

However, if it is determined that the BESSs 217a and 217b satisfy the power gap, the process proceeds to a decision block S338, where the calculation module determines that the discharging power of the BESSs 217a, 217b is greater than the power rating of the BESS. Decide whether it is large or not. As used herein, a power rating with respect to discharging a BESS indicates how much power the BESS can discharge within a calculation cycle currently being measured. If it is determined in S338 that the discharge power is greater than the power rating of the BESS, the process proceeds to S340, where the calculation module 236 limits the discharge of the BESSs 217a, 217b to the power rating of the BESS, because the calculation This is because the BESS is limited to the discharge power that can be output by the BESS during the cycle. Alternatively, if it is determined in S338 that the discharging power is not greater than the power rating of the BESS, the process continues to S342, where the calculation module 236 generates a discharging command to discharge the BESS to the discharging power during the current calculation cycle and This command is transmitted to the BESSs 217a and 217b. In this regard, it should be noted that when both the AC grid 210 and the DC grid 220 are considered, the amount of discharge power required to be discharged represents the total amount between the two BESSs 217a and 217b. According to another embodiment, the discharge command may be sent only to the BESS 117a or the BESS 117b and will indicate the total amount of discharging power.

From S342, the process proceeds to a decision S344, where the calculation module 236 determines whether the actual discharge of the BESSs 117a, 117b satisfies the power gap. If the discharge of the BESS satisfies the power gap, the calculation module 236 will maintain the existing output power setting for the TPG system 215 at S346 and proceed to S350. However, if the discharge of the BESS cannot satisfy the power gap, the calculation module 236 generates a command to increase the output power set value of the TPG system 215 in S348 and sends the command to the TPG system 215 . and proceeds to S350.

Returning now to decision block S332, if it is determined that the net load demand for demand-capable power is greater than the output power setpoint for one or more TPG systems during the computational cycle currently being measured, the process proceeds to the flow chart shown in FIG. 3C. Proceed to CHARGE, the off-page connector to the next part. Referring now to FIG. 3C , the process proceeds to block S356 , where the calculation module 236 determines whether the charging power of the energy storage systems 217a , 217b (eg, BESS) satisfies the power surplus. . As used herein, power surplus is defined as the difference between the net demand for demand-capable power (ie, BESS + TPG) and the output power setpoint for the TPG system during the current computation cycle, where the output power of the TPG system The set value is greater than the net demand value. The determination at S356 is whether the BESS has enough charging space to be charged to satisfy the power surplus calculated by the calculation module 236 . If it is determined that the BESSs 217a and 217b do not have enough space to be charged to satisfy the power surplus during the calculation cycle, the process proceeds to S358, where the calculation module 236 determines the charging of the BESSs 217a and 217b. is limited to the amount of remaining charging power, and then proceeds to a determination block ( S360 ).

However, if it is determined that the BESSs 217a, 217b satisfy the power surplus, the process proceeds to a decision block S360, where the calculation module determines whether the charging power of the BESSs 217a, 217b is greater than the power rating of the BESS. do. As used herein, power rating in the context of BESS charging refers to how much power the BESS can charge within the calculation cycle it is currently measuring. If it is determined in S360 that the discharging power is greater than the power rating of the BESS, the process proceeds to S362, where the calculation module 236 limits the charging of the BESSs 217a, 217b to the power rating of the BESS, because the calculation This is because during the cycle the BESS is limited to the charging power that can be stored by the BESS. Alternatively, if it is determined in S360 that the discharging power is not greater than the power rating of the BESS, the process proceeds to S364, where the calculation module 236 generates a charging command to charge the BESS to the charging power during the current calculation cycle and This command is transmitted to the BESSs 217a and 217b. In this regard, it should be noted that if both the AC grid 210 and the DC grid 220 are considered, the amount of charging power required to be stored represents the total amount between the two BESSs 217a and 217b. According to another embodiment, the charging command may be sent only to the BESS 117a or the BESS 117b and will indicate the total amount of charging power.

From S364, the process proceeds to decision S366, where the calculation module 236 determines whether the actual charging of the BESS 117a, 117b satisfies the power surplus. If the charging of the BESS satisfies the power surplus, the calculation module 236 will maintain the existing output power setting for the TPG system 215 at S368 and proceed to S350. However, if the charging of the BESS cannot satisfy the power surplus, the calculation module 236 generates a command to decrease the output power set value for the TPG system 215 in S370 and sends the command to the TPG system 215 . , and proceeds to S350.

At decision block S350 , the calculation module 236 determines whether the currently resolved calculation cycle was the last cycle of the time window to be resolved by the hybrid AC-DC power controller 230 . If this calculation cycle is not the last cycle of the time window to be resolved, the process continues to the off-page connector “B” of FIG. 3A , where subsequent calculations relate to the next outstanding calculation cycle. If decision block S350 determines that the calculation cycle currently solved is the last cycle of the time window to be resolved by the hybrid AC-DC power controller 230 , the process proceeds to decision block S352 , where the calculation module 236 ) determines whether the current time period to be resolved represents the last time window of the project period to be resolved. If the current time period to be resolved represents the final time window of the project period, the process ends at S354. Otherwise, the process iteratively proceeds to the off-page connector “A” of FIG. 3A , where the process returns to S316 to obtain the load demand for the next outstanding time window.

Referring now to FIG. 4 , this figure shows 12 months (8760 hours) in which a gas engine/turbine is assisted by an energy storage device (eg, BESS) 217a, 217b, as shown in one exemplary aspect of the present disclosure. A new hourly power gap distribution (the original power gap 101 identified in the example shown in Figure 1a and the associated histogram 150 in Figure 1b) that one or more gas engines/turbines must replenish over a period of time of A histogram 400 is shown. Similar to the histogram 150 shown in FIG. 1B , the dotted vertical line 151 represents the maximum output power (9.35 MW) that the exemplary single gas engine can deliver. Thus, the bar to the right of the dashed line indicates the time the two gas engines (with the added power support of the BESS 217) are used to deliver the power needed to fill the power gap shown in Figure 1A over a period of one year. indicates the amount. In this example, about 672 hours (or 7.7%) of the year had a power gap greater than 9.35 MW, requiring two gas engines to run. This should be contrasted with the histogram of FIG. 1B , which shows that the two gas engines must operate 24% year-round when BESS is not available. Also, the new histogram 400 shows a smaller variation in the power output delivered by the gas engine over a period of one year when compared to the histogram 150, showing a large percentage of the operating time between 8 MW and 9 MW. have This is indicative of greater efficiency of gas engine operation given that the exemplary gas engine operates at maximum efficiency when operated at full power. With the help of BESS 217a, 217b and controller 230, this efficiency leads to greater cost savings in energy production. Moreover, less variation in the output power setpoint of the exemplary gas engine(s) with the aid of the BESS 217 and controller 230 results in less wear of the engine(s), further reducing repair costs and prolonging engine life. make it longer

As will be understood by one of ordinary skill in the art, aspects of the present invention may be implemented as a system, method, or computer program product. Accordingly, aspects of the present invention may be all generally referred to herein as "circuits," "modules," or "systems," either entirely hardware embodiments, entirely software embodiments (including firmware, resident software, microcode, etc.), or "systems". It may take the form of an embodiment combining software and hardware capable of being Aspects of the invention may also take the form of a computer program product embodied in one or more computer readable medium(s) having computer readable program code embodied thereon.

The flowchart and block diagrams in the drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products in accordance with various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code comprising one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions recited in the blocks may occur out of the order indicated in the figures. For example, two blocks shown in succession may, in fact, be executed substantially simultaneously, or blocks may sometimes be executed in reverse order, depending on the functionality involved. In addition, each block in the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, is a special-purpose hardware-based system, or special-purpose hardware and computer instruction, that performs the specified function or operation. It should also be noted that it can be implemented by a combination of

Any method described herein may include the additional step of providing a system comprising separate software modules embodied on a computer-readable storage medium, wherein the modules are depicted, for example, in block diagrams and/or or any or all of the elements described herein, which is a geometric compensation module by way of example and not limitation. Method steps may then be performed using separate software modules and/or submodules of the system, as described above, executing on one or more hardware processors 233 (FIG. 2). Further, the computer program product may comprise a computer readable storage medium having code adapted to be implemented to perform one or more method steps described herein, including providing a system having separate software modules.

This written description uses examples to disclose the invention, including the preferred embodiment, and also includes making and using any devices or systems and performing any integrated methods. It enables those skilled in the art to practice the invention. The patent scope of the present invention is defined by the claims, and may include other examples contemplated by those skilled in the art. Such other examples are within the scope of the claims if these examples have structural elements that do not differ from the literal language of the claims, or if these examples include equivalent structural elements without material differences from the literal language of the claims. it is intended to be Aspects from the various embodiments described and other known equivalents for each such aspect may be mixed and matched by those skilled in the art to construct further embodiments and techniques in accordance with the principles of the present application. have.

Those skilled in the art will recognize that various adaptations and modifications of the above-described embodiments can be made without departing from the scope and spirit of the claims. Accordingly, it is to be understood that the claims may be practiced otherwise than as specifically described herein.

Claims (20)

A hybrid power controller system comprising:
a memory for storing program instructions; and
a power controller processor;
The power controller processor is coupled to the memory, and the power controller processor comprises at least one renewable power generation system, at least one thermal power generation system, at least one energy storage device, and at least one power load. In communication with the power controller processor,
determine a time window having at least one computation cycle;
whether the net demand for dispatchable power during the first calculation cycle exceeds the output power setpoint for the at least one thermal power generation system for each calculation cycle of the time window. decide;
In response to determining that the net demand for demand-capable power during the first calculation cycle exceeds an output power setpoint for the at least one thermal power generation system during the first calculation cycle, determine whether a discharge power satisfies a power gap, wherein the power gap is the net demand for demand-capable power during the first calculation cycle and the at least one thermal power during the first calculation cycle the difference between the output power setpoint for the power generation system, wherein the net demand is greater than the output power setpoint;
in response to determining that the discharge power satisfies the power gap, determine whether the discharge power is greater than a power rating of the at least one energy storage device;
in response to determining that the discharge power is not greater than the power rating, generate a discharge command to discharge the at least one energy storage device to the discharge power;
determine whether the discharging of the at least one energy storage device satisfies the power gap;
In response to determining that the discharging of the at least one energy storage device does not satisfy the power gap, set an output power setpoint for the at least one thermal power generation system during the first calculation cycle to satisfy the power gap. to increase;
responsive to determining that the net demand for demand-capable power during the first calculation cycle does not exceed an output power setpoint for the at least one thermal power generation system during the first calculation cycle, at least one energy storage device determine whether the charging power of n satisfies a power surplus, wherein the power surplus is the net demand for demand-capable power during the first calculation cycle and the at least one the difference between the output power setpoint for the thermal power system, wherein the output power setpoint is greater than the net demand;
in response to determining that the charging power satisfies the power surplus, determine whether the charging power is greater than a power rating of the at least one energy storage device;
in response to determining that the charging power is not greater than the power rating, generate a charging command to charge the at least one energy storage device with the charging power;
determine whether the charging of the at least one energy storage device satisfies the power surplus;
in response to determining that the charging of the at least one energy storage device does not satisfy the power surplus, for reducing an output power setpoint for the at least one thermal power system during the first calculation cycle;
operable to execute program instructions. According to claim 1,
calculate an output power setpoint for the at least one thermal power system during a first calculation cycle of the time window;
calculate available renewable power generation during the first calculation cycle;
calculate a load demand demanded from the at least one power load during the first calculation cycle;
for calculating a net demand for demand-capable power during the first calculation cycle based on the calculated available renewable power generation and the calculated required load demand;
The hybrid power controller system further comprising program instructions. 3. The method of claim 2, wherein the program instructions for calculating an output power setpoint for the at least one thermal power system during a first calculation cycle of the time window include:
calculate a total energy production required of the at least one thermal power system during the time window;
to divide the required total energy generation by the total number of computational cycles in the time window.
and program instructions. 4. The method of claim 3, wherein the program instructions for calculating the total energy production required of the at least one thermal power system during the time window are:
obtain a load demand from the at least one power load during the time window;
calculate total available energy production during the time window from the at least one renewable power generation system;
for calculating a difference between load demand during the time window and total available energy generation during the time window;
and program instructions. The output to the at least one thermal power system of claim 1 , responsive to determining that the discharge to the discharge power of the at least one energy storage device satisfies the power gap, the output to the at least one thermal power system during the first calculation cycle and program instructions for maintaining the power setpoint. The output of claim 1 , wherein in response to determining that the charging of the at least one energy storage device with the charging power satisfies the power surplus, the output to the at least one thermal power system during the first calculation cycle. and program instructions for maintaining the power setpoint. According to claim 1,
in response to determining that the discharging power does not satisfy the power gap, limit discharging of the at least one energy storage device to a remaining discharging power;
for determining whether the discharge power is greater than a power rating of the at least one energy storage device;
The hybrid power controller system further comprising program instructions. According to claim 1,
in response to determining that the charging power does not satisfy the power surplus, limit charging of the at least one energy storage device to an amount of remaining charging power;
for determining whether the charging power is greater than a power rating of the at least one energy storage device;
The hybrid power controller system further comprising program instructions. According to claim 1,
in response to determining that the discharge power is greater than the power rating, limit discharging of the at least one energy storage device to a power rating of the at least one energy storage device;
generate a discharge command to discharge the at least one energy storage device to a power rating of the at least one energy storage device;
for determining whether the discharging of the at least one energy storage device satisfies the power gap.
The hybrid power controller system further comprising program instructions. According to claim 1,
in response to determining that the charging power is greater than the power rating, limit charging of the at least one energy storage device to a power rating of the at least one energy storage device;
generate a charge command to charge the at least one energy storage device to a power rating of the at least one energy storage device;
for determining whether the charging of the at least one energy storage device satisfies the power surplus
The hybrid power controller system further comprising program instructions. As a method,
determining a time window having at least one computation cycle;
determining whether the net demand for demand-capable power during a first calculation cycle exceeds an output power setpoint for at least one thermal power generation system during each calculation cycle of the time window;
In response to determining that the net demand for demand-capable power during the first calculation cycle exceeds an output power setpoint for the at least one thermal power generation system during the first calculation cycle, determining whether the discharge power satisfies a power gap, wherein the power gap is determined between the net demand for available power during the first calculation cycle and the at least one thermal power generation system during the first calculation cycle. is the difference between the output power setpoint for , wherein the net demand is greater than the output power setpoint;
in response to determining that the discharge power satisfies the power gap, determining whether the discharge power is greater than a power rating of the at least one energy storage device;
in response to determining that the discharge power is not greater than the power rating, generating a discharge command to discharge the at least one energy storage device to the discharge power;
determining whether the discharging of the at least one energy storage device satisfies the power gap;
In response to determining that the discharging of the at least one energy storage device does not satisfy the power gap, an output power setpoint for the at least one thermal power generation system during the first calculation cycle is set to satisfy the power gap. increasing the number;
responsive to determining that the net demand for demand-capable power during the first calculation cycle does not exceed an output power setpoint for the at least one thermal power generation system during the first calculation cycle, at least one energy storage device determining whether the charging power of α satisfies a power surplus, wherein the power surplus is a net demand for demand-capable power during the first calculation cycle and the at least one thermal power generation system during the first calculation cycle. is the difference between the output power setpoint for , wherein the output power setpoint is greater than the net demand;
in response to determining that the charging power satisfies the power surplus, determining whether the charging power is greater than a power rating of the at least one energy storage device;
in response to determining that the charging power is not greater than the power rating, generating a charging command to charge the at least one energy storage device with the charging power;
determining whether the charging of the at least one energy storage device satisfies the power surplus;
in response to determining that the charging of the at least one energy storage device does not satisfy the power surplus, reducing an output power setpoint for the at least one thermal power system during the first calculation cycle;
A method comprising 12. The method of claim 11,
calculating an output power setpoint for the at least one thermal power system during a first calculation cycle of the time window;
calculating available renewable power generation during the first calculation cycle;
calculating a required load demand from the at least one power load during the first calculation cycle; and
calculating a net demand for demand-capable power during the first calculation cycle based on the calculated available renewable power generation and the calculated required load demand;
A method further comprising: 13. The method of claim 12, wherein calculating an output power setpoint for the at least one thermal power system during a first calculation cycle of the time window comprises:
calculating a total energy production required for the at least one thermal power system during the time window; and
dividing the required total energy production by the total number of computational cycles in the time window.
Which will further include a method. 14. The method of claim 13, wherein calculating the total energy production required of the at least one thermal power system during the time window comprises:
obtaining a load demand from the at least one power load during the time window;
calculating total available energy generation during the time window from the at least one renewable power generation system; and
calculating the difference between the load demand during the time window and the total available energy generation during the time window;
Which will further include a method. 12. The method of claim 11,
in response to determining that the discharge to the discharge power of the at least one energy storage device satisfies the power gap, maintaining an output power setpoint for the at least one thermal power generation system during the first calculation cycle. A method further comprising a step. 12. The method of claim 11,
in response to determining that the charging of the at least one energy storage device with the charging power satisfies the power surplus, maintaining an output power setpoint for the at least one thermal power system during the first calculation cycle. A method further comprising a step. 12. The method of claim 11,
in response to determining that the discharge power does not satisfy the power gap, limiting discharge of the at least one energy storage device to a remaining amount of discharge power; and
determining whether the discharge power is greater than a power rating of the at least one energy storage device;
A method further comprising: 12. The method of claim 11,
in response to determining that the charging power does not satisfy the power surplus, limiting charging of the at least one energy storage device to an amount of remaining charging power;
determining whether the charging power is greater than a power rating of the at least one energy storage device;
A method further comprising: A computer-readable non-transitory storage medium storing instructions that, when executed by a computer processor, cause the computer processor to perform a method, the method comprising:
determining a time window having at least one computation cycle;
determining whether the net demand for demand-capable power during a first calculation cycle exceeds an output power setpoint for at least one thermal power generation system during each calculation cycle of the time window;
In response to determining that the net demand for demand-capable power during the first calculation cycle exceeds an output power setpoint for the at least one thermal power generation system during the first calculation cycle, determining whether the discharge power satisfies a power gap, wherein the power gap is determined between the net demand for available power during the first calculation cycle and the at least one thermal power generation system during the first calculation cycle. is the difference between the output power setpoint for , wherein the net demand is greater than the output power setpoint;
in response to determining that the discharge power satisfies the power gap, determining whether the discharge power is greater than a power rating of the at least one energy storage device;
in response to determining that the discharge power is not greater than the power rating, generating a discharge command to discharge the at least one energy storage device to the discharge power;
determining whether the discharging of the at least one energy storage device satisfies the power gap;
In response to determining that the discharging of the at least one energy storage device does not satisfy the power gap, an output power setpoint for the at least one thermal power generation system during the first calculation cycle is set to satisfy the power gap. increasing the number;
responsive to determining that the net demand for demand-capable power during the first calculation cycle does not exceed an output power setpoint for the at least one thermal power generation system during the first calculation cycle, at least one energy storage device determining whether the charging power of α satisfies a power surplus, wherein the power surplus is a net demand for demand-capable power during the first calculation cycle and the at least one thermal power generation system during the first calculation cycle. is the difference between the output power setpoint for , wherein the output power setpoint is greater than the net demand;
in response to determining that the charging power satisfies the power surplus, determining whether the charging power is greater than a power rating of the at least one energy storage device;
in response to determining that the charging power is not greater than the power rating, generating a charging command to charge the at least one energy storage device with the charging power;
determining whether the charging of the at least one energy storage device satisfies the power surplus;
in response to determining that the charging of the at least one energy storage device does not satisfy the power surplus, reducing an output power setpoint for the at least one thermal power system during the first calculation cycle;
A computer-readable non-transitory storage medium comprising a. 20. The method of claim 19,
calculating an output power setpoint for the at least one thermal power system during a first calculation cycle of the time window;
calculating available renewable power generation during the first calculation cycle;
calculating a required load demand from the at least one power load during the first calculation cycle; and
calculating a net demand for demand-capable power during the first calculation cycle based on the calculated available renewable power generation and the calculated required load demand;
A computer-readable non-transitory storage medium further comprising instructions for performing a method comprising:

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